Evidence map›Paper›PMID 37193789›Full record

ArticleCommunications biology2023

Copy number alteration features in pan-cancer homologous recombination deficiency prediction and biology.

Huizi Yao, Huimin Li, Jinyu Wang, Tao Wu, Wei Ning, Kaixuan Diao, Chenxu Wu, Guangshuai Wang, Ziyu Tao, Xiangyu Zhao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Combination ofFrontiers in oncology · 2025
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Huizi Yao *School of Life Science and Technology, ShanghaiTech University, Shanghai, China.ORCID 0000-0002-7452-3168
Huimin Li *School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Jinyu Wang *School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Tao WuSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.ORCID 0000-0002-8999-9628
Wei NingSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Kaixuan DiaoSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Chenxu WuSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Guangshuai WangSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Ziyu TaoSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.ORCID 0000-0003-3272-1227
Xiangyu ZhaoSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Jing ChenSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Xiaoqin SunSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Xue-Song LiuSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China. liuxs@shanghaitech.edu.cn.ORCID 0000-0002-7736-0077
ShanghaiTech University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homologous recombination deficiency (HRD) renders cancer cells vulnerable to unrepaired double-strand breaks and is an important therapeutic target as exemplified by the clinical efficacy of poly ADP-ribose polymerase (PARP) inhibitors as well as the platinum chemotherapy drugs applied to HRD patients. However, it remains a challenge to predict HRD status precisely and economically. Copy number alteration (CNA), as a pervasive trait of human cancers, can be extracted from a variety of data sources, including whole genome sequencing (WGS), SNP array, and panel sequencing, and thus can be easily applied clinically. Here we systematically evaluate the predictive performance of various CNA features and signatures in HRD prediction and build a gradient boosting machine model (HRD

Indexed as

BRCA1 ProteinNeoplasmsBiologyBRCA2 ProteinDNA Copy Number VariationsHomologous RecombinationHumansBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, human

Identifiers

PMID37193789
PMCPMC10188435
OpenAlexW4376872346

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.